[ Free tool · 3 min ]

AI maturity test for your company

10 honest questions to know your level and which 3 steps to take in the next 6 months.

Is there an AI strategy approved by leadership?
01 · STRATEGY
Is there an executive sponsor (C-level) for AI initiatives?
02 · SPONSOR
Is business data consolidated in a single place?
03 · DATA
How much internal technical talent do you have to operate AI?
04 · TALENT
Have you put any AI project into production?
05 · PRODUCTION
Do you have AI governance defined (GDPR, AI Act, sectoral)?
06 · GOVERNANCE
Is there budget allocated to AI / automation in 2026?
07 · BUDGET
Are AI objectives tied to business KPIs (not technical)?
08 · KPIS
How does the team react when a new AI initiative appears?
09 · CULTURE
Does the AI strategy survive a change of CIO/CTO?
10 · LONG-TERM

The 4 levels of AI maturity.

01

Explorer

0-24 · ~40 % of the ES market

No formal strategy, scattered data, no dedicated team. Focus: an acotated pilot that proves value fast.

02

Learner

25-54 · where most companies get stuck

Pilot in motion, sponsor and governance missing. Goal: move from lone pilot to program with basic governance.

03

Practitioner

55-79 · upper half of the market

Multiple initiatives in production with documented ROI. Next leap: industrialisation + reusable platform + CoE.

04

Reference

80-100 · top 5-10 %

AI as strategic capability: portfolio, solid governance, active CoE, C-level sponsor, culture. Focus: speed and talent retention.

[ Other utilities ]